Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
EMEA Workshop on Biosimilar Monoclonal Antibodies, July 2, 2009 Session 1 CMC Innovator Industry Presentation Prof. Georg-B. Kresse London July 2, 2009 G.-B. Kresse / CMC 1 The Innovators‘ View – CMC Summary • Available guidance for quality characterization is applicable for biosimilar mAbs • The mode of action of mAbs is complex and may involve contributions from multiple mechanisms • Differences in antibody variants are only acceptable if justified by clinical data • Glycosylation can be critical for the biological function of mAbs • Quality data cannot substitute for gaps in knowledge in functional assays • Role of ICH Q8 and Q9: a „design space“ concept is not transferable from the reference product to a biosimilar to ensure similarity London July 2, 2009 G.-B. Kresse / CMC 2 The EU Biosimilars Existing Regulatory Framework • It is impossible to characterize the quality attributes of proteins completely by physicochemical analysis, and to fully predict the impact of structural differences (induced by the producing cell itself as well as by the manufacturing process) on clinical efficacy and safety. • For independently manufactured protein products, „identical copies“ are impossible but at best „similar“ products. Biosimilars are manufactured and controlled according to their own development. Similarity has to be shown in terms of quality, efficacy, and safety in head-to-head comparative studies. • Analytical differences between biosimilars and their reference product are expected. The extent of observed differences will be decisive for definition of the non-clinical and clinical program. • The „biosimilarity“ scenario differs from the „comparability after manufacturing changes“ scenario regulated by ICH Q5E. Source: P. Richardson and P. Celis (2007), 1st Drug Evaluation Forum, Pharm. Soc. Japan London July 2, 2009 G.-B. Kresse / CMC 3 Available Guidance for Quality Characterization is applicable for biosimilar mAbs • The same principles should apply for quality characterization of biosimilar mAbs as for other biosimilars. • Available guidelines on Quality Characterization of mAbs (CHMP/BWP/157653/2007) and on Quality Issues of Biosimilar Products (CHMP/BWP/49348/2005) are applicable for biosimilar mAbs. There is no need for additional quality guidance. • State-of-the-art analytical methods will have to be used. However, with more sensitive analytics, more differences will be detected. On the other hand, even extended analytical characterization is limited – „you will only see what you are looking for“. • Both physicochemical and biological assays will be necessary in all cases. • The quality studies have to take into account multifunctionality of mAb molecules and should include in-vitro potency assays (if predictive assays are available) as well as assays for Fab and Fc mediated functions as needed based on an understanding of the mechanism of action of the particular mAb. Assumptions based e.g. on the IgG sub-class are not sufficient. London July 2, 2009 G.-B. Kresse / CMC 4 The Mode of Action of mAbs is complex and may involve Contributions from multiple Mechanisms Complement C1q Activation (CDC) (Example: Rituximab) 3 CD R2 HE HE R2 FR G E CD 20 Induction of Apoptosis (Example: Rituximab) G VE R F- T-Cell CD20 Tumor Cell R2 NK-Cell CD 20 HE Activation of Effector Mechanisms Antibody-dependent cellular Cytotoxicity (ADCC) (Example: Rituximab) Inhibition of Signal Transduction or Receptor Activation • Inhibition of Ligand Binding (Example: Cetuximab) • Induction of Receptor Internalization (Example: IGF-1R-Abs) • Inhibition of Receptor Dimerization (Example: Pertuzumab) • Inhibition of Receptor Shedding (Example: Trastuzumab) Activation of T-Cells (Example: Catumaxomab) Targeting of Toxins (Example: T-DM1) Blocking Ligand Binding (Example: Bevacizumab) The in-vivo net contribution of different modes of action described for one mAb is often incompletely understood and may also be different in different indications. London July 2, 2009 G.-B. Kresse / CMC Modified from: Hasmann, M. et al. (2009) ChiuZ, submitted 5 Differences in Antibody Variants are only acceptable if justified by clinical Data • Biosimilars must have the same amino acid sequence as the reference product. • The relevance of major variants (e.g., basic/acidic variants, presence or absence of C-terminal Lys residues) on clinical efficacy and/or safety has to be established and reflected in the control strategy of the product. • mAbs (reference and biosimilar) will always be micro-heterogeous mixtures of a large number of post-translationally modified molecular species. • The exact composition of this mixture cannot be reproduced if a different manufacturing process is used, therefore comparative nonclinical and clinical data will always be necessary for biosimilar mAbs. London July 2, 2009 G.-B. Kresse / CMC Not all possible variants are described. For example, there are fucosylation variants in glycosylation that were not counted. If one assumes these variants are independent and considers combinations, each halfantibody has 2x6x4x4x5x5x2=9600 possible states. If one assumes both halves of the antibody are independent, there are (9600)2 ≈ 108 possible states. Source: Kozlowski, S. & Swann, P. (2006) Adv. Drug Delivery Revs 58, 707-722 6 Glycosylation can be critical for the biological Function of mAbs • IgGs may contain up to ~500 different glycoforms due to Fc glycosylation. Differences may influence solubility, stability, clearance, immunogenicity, and immune effector functions. • Even small differences in glycosylation may have significant effects (e.g., impact of absence of one fucose residue on ADCC - however, not only fucosylation is important). Source: Jefferis, R. (2009) Nature Revs. Drug Disc. 8, 226-234 • Up to 30% of human IgGs contain N-linked oligosaccharides in the Fab region whose functional significance is not fully evaluated (e.g., impact of Fab galactosylation on hypersensitivity reaction). • The pattern of glycosylation will vary between products because it depends on the manufacturing process. • In line with the mAb guidance, the relevance and acceptability of glycosylation differences should depend on criticality of this attribute, i.e. the proven or disproven impact of glycosylation differences on clinical properties which may be different for mAbs using different modes of action. London July 2, 2009 G.-B. Kresse / CMC 7 Need for functional Assays Quality Data cannot substitute for Gaps in Knowledge • The broad experience existing with therapeutic mAbs shows that it may be difficult to understand the critical quality attributes, and to predict the impact of differences to clinical efficacy and safety (e.g., Raptiva example). Direct Effects mediated by Fab Part Target cell • Only those differences known/proven to have no impact on clinical efficacy and/or safety should be acceptable without additional justification. FcR CDC Immune Effector Effector Functions cell mediated by Fc Interactions ADCC • Gaps of functional knowledge will lead to the requirement for additional nonclinical and clinical data, based on knowledge of the mode of action of the particular mAb under study. • Because of the linkage of quality, non-clinical and clinical aspects, a „holistic approach“ is needed for the evaluation of mAb-based drugs to connect analytical data with clinical safety and efficacy. London July 2, 2009 G.-B. Kresse / CMC 8 Role of ICH Q8 and Q9: A „Design Space“ Concept is not applicable to ensure Similarity • ICH Q8 Pharmaceutical Development and ICH Q9 Quality Risk Management are applicable for biosimilars manufacturers for their own developments in the same way as for the originators. • A „design space“ depends on a particular manufacturing process connected to clinical results and cannot be „borrowed“ to demonstrate similarity of a biosimilar product to a reference product made by a different process. Analyze product quality attributes and batch-to-batch variability No access to proprietary data of innovator. Design Space will be different for products manufactured differently. Understand relevance / impact to clinical safety and efficacy Batch-dependent clinical data of reference product are not available for a second manufacturer Define design space Define Control Strategy London July 2, 2009 Design space of reference product cannot be utilized by a second manufacturer Second manufacturer needs to establish own control strategy based on own data. G.-B. Kresse / CMC 9 CMC Conclusion • Available quality guidance is applicable for biosimilar mAbs. • It is impossible to characterize the quality attributes of mAbs completely by physico-chemical analysis alone and to fully predict the impact of differences on clinical efficacy and safety. Analytical differences (including glycosylation if appropriate) have to be justified by clinical data. • Multifunctionality of mAb molecules means that characterization should include both Fab and Fc mediated functions unless justified. • The mode of Action of mAbs is often complex involving contributions from multiple mechanisms (these may be different in different indications). • mAbs will always be micro-heterogeneous mixtures of a large number of molecular species. The relevance of major variants on clinical efficacy and/or safety has to be established and reflected in the control strategy of the product. • ICH Q8 and Q9 are applicable for biosimilars manufacturers for their own developments as for originators. However, a „design space“ concept will not help to establish similarity. London July 2, 2009 G.-B. Kresse / CMC 10 Back-up Slides London July 2, 2009 G.-B. Kresse / CMC 11 Manufacturing of recombinant Proteins is complex DNA Vector Cloning into DNA Vector Transfer into Host Cell Expression Cell Development Downstreaming Large-Scale Fermentation e.g., bacterial or mammalian cell London July 2, 2009 Formulation G.-B. Kresse / CMC 12 Manufacturing of recombinant Proteins is complex A second manufacturer uses... DNA Vector (Probably) a different DNA vector The same amino acid sequence Cloning into DNA Vector Transfer into Host Cell Expression Cell Development (maybe the same genetic sequence) A different fermentation process A different downstreaming protocol Downstreaming Different in-process controls A different recombinant cell expression e.g., bacterial or mammaliansystem cell Large-Scale Fermentation Formulation Different Process → different product London July 2, 2009 G.-B. Kresse / CMC Maybe a different formulation 13 Are mAbs „well-characterized Biologicals“ ? • The term „well-characterized biological“ should not be used because is not defined in any EMEA guideline. • It was originally introduced by FDA in 1995 but soon abandoned: In the Federal Register of December 8, 1995 (60 FR 63048), the agency first published an interim definition of a well-characterized therapeutic recombinant DNA-derived and monoclonal antibody biotechnology Product … After considering the public comments received on the interim definition … and the many requests the agency has received for further clarification of the term ‘‘well-characterized,’’ FDA has determined that it may not be possible to achieve a sufficiently clear and specific understanding of this term to adequately apprise potential applicants of the applicability of the new procedures. Accordingly, FDA is specifying, in lieu of the term ‘‘well characterized biotechnology product,’’ the categories of products to which this final rule will be applicable.” (Federal Register / Vol. 61, No. 94 / Tuesday, May 14, 1996) London July 2, 2009 G.-B. Kresse / CMC 14 Source: P. Richardson and P. Celis (2007), 1st Drug Evaluation Forum, Pharm. Soc. Japan London July 2, 2009 G.-B. Kresse / CMC 15 Standard for documenting Innovator Process Changes is well established – Standard for Biosimilars should be no less 2nd generation innovator processes – and Biosimilars Appropriate human study to demonstrate the equivalence of the efficacy and safety (including immunogenicity) of the product Biosimilars Manufacturing Change Change filter supplier Move equipment different part of facility • Low risk • Frequent • Supported by: Analytical and Process Data Move Scale-up New cell line manufacturing Manufacturing New Process to new facility New Formulation Character of Change • Highest risk • Rare • Extensive Data: Analytical, Process and Human data New: • DNA ? • Cell line • Process Technology ? • Fermentation process • Purification process • Analytics • Facilities • Formulation ? • And - no history Source: modified from Ken Seamon, Cambridge University London July 2, 2009 G.-B. Kresse / CMC 16 Second Manufacturers have no Access to the Innovator‘s Database Technical Development Clinical Development Drug Product No access to Second Manufacturer historical database Limited access to historical database Comparison at the level of final product only (limited to drug product level) Innovator No definition of “design space” and assessment of similarity possible Case-by-case: clinical development can be shortened Trade secret of innovator Accessible for independent second manufacturer London July 2, 2009 G.-B. Kresse / CMC 17 Process Control • Procedures • Materials • In-process testing • Monitoring • Validation End-Product only In-Process Controls (Process & Product) Comparability Extended Characterization Similarity Release Tests (Specifications) Consistency How much of the Iceberg is visible? Unknown Learned over time – update control strategy London July 2, 2009 Modified from: Koszlowski, S. & Swann, P. (2006) Adv. Drug Delivery Revs. 58, 707-722 G.-B. Kresse / CMC 18 Is physicochemical Characterization sensitive enough to detect Differences between two more complex Molecules like mAbs ? • Sensitivity is not the issue – the analytical toolbox becomes more and more comprehensive, and state-of-the-art analytical methods have to be used by biosimilars developers as well as by innovators. • With more sensivity analytics, more differences will be detected - not „more identity“. „The greater the resolution of the analytical methods applied to a product, the more heterogeneity will be apparent. The critical issue is which variants matter and at what levels they matter“ Kozlowski, S. & Swann, P. (2006) Adv. Drug Delivery Revs. 58, 707-722 • According to the biosimilars quality guideline, differences are expected anyway – but the extent of observed differences decisive for definition of the non-clinical and clinical program. It is not expected that the quality attributes in the similar biological and reference medicinal products will be identical. For example, minor structural differences in the active substance, such as variability in post-translational modifications may be acceptable, however, must be justified. … Therefore, differences … may have consequences with regard to the amount of non-clinical and clinical data which may be required in order to make satisfactory justification of the safety and efficacy of the similar biological medicinal product. EMEA/CHMP/49348/05 London July 2, 2009 G.-B. Kresse / CMC 19 Even small Glycosylation Differences may have significant Effects on Immune Effector Functions • Both amino acid sequence and glycosylation pattern of CH2 influence FcR binding and ADCC activity. • The presence or absence of one fucose residue can affect the biological activity (killing of target cells via ADCC). • Even very small differences in fucosylation may have significant effects on in vitro ADCC. Immune effector function cell lysis in % 120 glycoengineered antibody 100 (only 26% fucosylated) 80 wildtype antibody 60 (100% fucosylated) 40 glycoengineered negative control antibody 20 Clark, M., http://wwwimmuno.path.cam.ac.uk/~mrc7/ 0 10 20 30 40 50 antibody conc. [ng/ml] Source: Roche London July 2, 2009 Source: R. Garnick (2008) Biogenerics 2008 Conference Relative ADCC (in-vitro) 0 5 4 3 2 1 0 0 1 G.-B. Kresse / CMC 2 3 4 % Non-Fucosylated IgG 5 6 7 20 Not only Fucosylation is important GlcNAc/ Mannose Ligand for Mannose Binding Protein Æ complement activation (Malhotra et al., Nat. Med. 1995) Sialic acid Suppression of ADCC (anti-inflammatory activity) (Kaneko et al., Science 2006) Galactose Placental transport (Kibe et al., J. Clin. Biochem. Nutr. 1996) bisecting GlcNAc Prevents core fucosylation Æ enhanced ADCC (Umaña et al., Nat. Biotech. 1999) absence of core Fucose Enhanced ADCC (Okazaki et al., J. Mol. Biol. 2004) α(1-3)-Gal a1-3 Non-human/antigenic (Cooper, Xenotransplantation 1998) Source: H. Kettenberger, Roche London July 2, 2009 G.-B. Kresse / CMC 21 Correlation of Bioactivity and Galactose Content in Rituximab In Vitro CDC Bioactivity 120 110 100 90 80 β- galactosidase treated 70 60 50 0 0.1 0.2 0.3 0.4 0.5 0.6 Moles Galactose per Mole Heavy Chain 0.7 0.8 Source: Genentech, Inc. London July 2, 2009 G.-B. Kresse / CMC 22 The Glycopattern depends on the Host Cell and on the Fermentation Conditions Level of a-fucose during 10-l-lab scale fermentation of a glycoengineered antibody Clone 1, 1 X GF Run 5 #165 % non-fuc Run 2.1 Run 2.3 40% 40% 20% 20% 20% 0% 0% 0% 0% 9 7 17 15 13 11 9 7 5 15 14 13 12 11 10 9 8 11 Run 2.4 Run 2.2 7 17 40% 20% 6 60% 5 60% 15 60% 40% 14 60% 13 80% 12 80% 11 80% 10 80% 9 100% 8 100% 7 100% 17 5 15 15 14 13 12 11 9 10 8 7 6 5 100% 6 Run 6 #165 5 Run 2 #1 15 0% 15 0% 13 0% 13 0% 11 20% 17 20% 15 20% 13 20% 11 40% 9 40% 7 40% 5 40% 14 60% 13 60% 12 60% 11 60% 9 80% 10 80% 8 80% 7 100% 80% 6 100% 5 100% % bisected 9 % complex 100% 7 % no n-fuc % co mp lex % b isected 5 Run 1 #1 Clone 165, 1 X GF Clone 165, 1 X GF Clone 165, 2 X GF Source: Roche London July 2, 2009 G.-B. Kresse / CMC 23 Up to 30% of native human IgGs contain Glycosylation in variable Regions of LC and HC • Mostly not germline encoded; created by somatic mutation. May also be created in mAbs obtained by phage display technology. • Occupation ranges from (almost) complete to low percent, depending on glycosylation sequon, accessibility, and process conditions (expression system, cell line, fermentation process). • Different glycan types may be present → microheterogeneity • Potentially has significant influence on functional and pharmacological characteristics (e.g., ligand binding, stickyness/unspecific binding, clearance rate, and potency) and technical development (consistency of isoform mixture, pK value, stability, comparability assessment). • If Fab glycosylation sites are present in the reference mAb, additional effort required for analytical characterization, documentation and reporting. London July 2, 2009 G.-B. Kresse / CMC 24 The Relevance of Fab Glycosylation: The Cetuximab Example C.H. Chung et al. (2008) NEJM 358, 1109-1117 London July 2, 2009 G.-B. Kresse / CMC 25 The Efalizumab Experience • Raptiva (efalizumab) was originally manufactured by XOMA and used in the Phase I/II trials and up to Phase III. Manufacturing was transferred to Genentech with full information. Analytical and formulation differences expected to be inconsequential were observed. • In a bioequivalence study, differences in PK parameters were observed: AUCinf 27.9 GNE 36.9 Ratio (G:X) Percentage of Subjects Xoma • A trend for lower PASI* Response to Efalizumab was found despite higher peripheral drug concentrations 1.324 AUCt 26.9 35.6 1.324 Cmax 3.59 4.22 1.175 • Based on the PK data, one could imagine that administering ~70% of the dose of the Genentech antibody would have similar effects to the XOMA antibody. However, because of the unpredictable nature of these PK changes an additional Phase III study was performed to determine the safety and efficacy of the Genentech material. London July 2, 2009 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% 38,9% improved 75% 26,6% *PASI = Psoriasis Area and Severity Index 2,4% Placebo (n=170) 1.0 mg/kg/wk 1.0 mg/kg/wk GNE XOMA material material (n=369) (n=162) Source: Genentech Changes that were believed not to affect the properties of the protein resulted in clear differences in pharmacokinetics. Given the complexity of therapeutic proteins, the impact of changes in pharmacokinetics (and probably pharmacodynamics) on safety and efficacy can often not be predicted reliably. G.-B. Kresse / CMC 26 Compendial Methods may fail to reveal Variants with changed Biopotency and Receptor Binding “The compendial methods cover a comprehensive range of degradation forms which take into account the knowledge of the molecular characteristics up to this point in time. However, … these methods may not be sufficient to appropriately detect the thioether variant, even if it is present at high levels, and that further powerful methods need to be employed.” London July 2, 2009 Source: M. Lispi et al. (2009) J. Pharm. Sci., DOI 10.1002/jps G.-B. Kresse / CMC 27